2 citations · 2 across the 3 of their papers we have counts for
6 papers
Gaussian Process Model for Estimating Piecewise Continuous Regression Functions
Chiwoo Park
This paper presents a Gaussian process (GP) model for estimating piecewise continuous regression functions. In scientific and engineering applications of regression analysis, the u…
Data Science for Motion and Time Analysis with Modern Motion Sensor Data
Chiwoo Park, Sang Do Noh, Anuj Srivastava
The motion-and-time analysis has been a popular research topic in operations research, especially for analyzing work performances in manufacturing and service operations. It is reg…
Variable selection for Gaussian process regression through a sparse projection
Chiwoo Park, David J. Borth, Nicholas S. Wilson +1
This paper presents a new variable selection approach integrated with Gaussian process (GP) regression. We consider a sparse projection of input variables and a general stationary…
Robust Gaussian Process Regression with a Bias Model
Chiwoo Park, David J. Borth, Nicholas S. Wilson +2
This paper presents a new approach to a robust Gaussian process (GP) regression. Most existing approaches replace an outlier-prone Gaussian likelihood with a non-Gaussian likelihoo…
Gaussian process surrogate modeling with manipulating factors for carbon nanotube growth experiments
Chiwoo Park, Rahul Rao, Pavel Nikolaev +1
This paper presents a new Gaussian process (GP) surrogate modeling for predicting the outcome of a physical experiment where some experimental inputs are controlled by other manipu…
Sequential Adaptive Design for Jump Regression Estimation
Chiwoo Park, Peihua Qiu, Jennifer Carpena-Núñez +3
Selecting input variables or design points for statistical models has been of great interest in adaptive design and active learning. Motivated by two scientific examples, this pape…